Contributions
Abstract: EP1401
Type: Poster Sessions
Abstract Category: Clinical aspects of MS - Clinical assessment tools
Background: Falls are common in patients with multiple sclerosis and cause injuries, affect self-confidence and mobility. It is important to recognize main risk factors and causes that could predict future falls.
Objective: to investigate demographic and clinical factors predisposing falls of the patients with multiple sclerosis and to compare these parameters in the fallers and non-fallers groups.
Methods: It was a prospective study of the patients with relapsing-remitting multiple sclerosis in remission with the disease modifying treatment and the Expanded Disability Status Scale (EDSS) < 6.5. Patients were asked to fill the original questionnaire about falls, numeric severity of fatigue scale; Hospital Anxiety and Depression Scale (HAD); Symbol Digit Modalities Test (SDMT). Patients were divided to fallers and non-fallers groups according to number of falls past 6 months. Demographic and clinical parameters were compared in these groups.
Results: We analyzed data from 69 patients. 21 (30,4%) of them fell one or more times past 6 months and were included in the fallers group, 48 (69,6%) haven't fell and were included to non-fallers group. Groups were similar by age (p= 0,469), gender (p=0,378) and disease duration (p=0,527). Mean of falls was 3,57±0,62. Falls were severe for 9 patients (42,9% of fallers) with trauma (bruises, fractures, sprains). Significant higher disability status was found for the fallers (EDSS for the fallers 3,6±1,45, the non-fallers 2,37±1,13 (p=0,001)). Self-reported numeric severity of fatigue scale difference was not found (p=0,692). Significantly higher HAD score was found in the fallers group (anxiety for the fallers 11,05±11,36, the non-fallers 6±3,82; p=0,005; depression for the fallers 8,24±12,27, the non-fallers 3,58±3,16, p=0,006). Cognitive status using SDMT didn't differ (p=0,097). We found significant odds ratio (OR) for falls using binary logistic regression, considering to variables significantly predicting falls in one-dimentional analysis (HAD depression score >4,5 OR 5,394[1,313-22,157], EDSS>2,25 OR 5,265[1,603-17,29]; Anxiety score >7,5 OR 4,64 [1,42-15,14], EDSS>2,25, OR 6,78 [1,66-27,67])
Conclusion: More than one quarter of patient suffered falls past 6 months. We found significant difference in disability status, anxiety and depression levels that could increase risk of falls.
Disclosure: Raminta Macaitytė - nothing to disclose
Dalia Mickevičienė - nothing to disclose
Eglė Sukockienė - nothing to disclose
Vytautas Danielius - nothing to disclose
Vitalija Stankunavičiūtė - nothing to disclose
Abstract: EP1401
Type: Poster Sessions
Abstract Category: Clinical aspects of MS - Clinical assessment tools
Background: Falls are common in patients with multiple sclerosis and cause injuries, affect self-confidence and mobility. It is important to recognize main risk factors and causes that could predict future falls.
Objective: to investigate demographic and clinical factors predisposing falls of the patients with multiple sclerosis and to compare these parameters in the fallers and non-fallers groups.
Methods: It was a prospective study of the patients with relapsing-remitting multiple sclerosis in remission with the disease modifying treatment and the Expanded Disability Status Scale (EDSS) < 6.5. Patients were asked to fill the original questionnaire about falls, numeric severity of fatigue scale; Hospital Anxiety and Depression Scale (HAD); Symbol Digit Modalities Test (SDMT). Patients were divided to fallers and non-fallers groups according to number of falls past 6 months. Demographic and clinical parameters were compared in these groups.
Results: We analyzed data from 69 patients. 21 (30,4%) of them fell one or more times past 6 months and were included in the fallers group, 48 (69,6%) haven't fell and were included to non-fallers group. Groups were similar by age (p= 0,469), gender (p=0,378) and disease duration (p=0,527). Mean of falls was 3,57±0,62. Falls were severe for 9 patients (42,9% of fallers) with trauma (bruises, fractures, sprains). Significant higher disability status was found for the fallers (EDSS for the fallers 3,6±1,45, the non-fallers 2,37±1,13 (p=0,001)). Self-reported numeric severity of fatigue scale difference was not found (p=0,692). Significantly higher HAD score was found in the fallers group (anxiety for the fallers 11,05±11,36, the non-fallers 6±3,82; p=0,005; depression for the fallers 8,24±12,27, the non-fallers 3,58±3,16, p=0,006). Cognitive status using SDMT didn't differ (p=0,097). We found significant odds ratio (OR) for falls using binary logistic regression, considering to variables significantly predicting falls in one-dimentional analysis (HAD depression score >4,5 OR 5,394[1,313-22,157], EDSS>2,25 OR 5,265[1,603-17,29]; Anxiety score >7,5 OR 4,64 [1,42-15,14], EDSS>2,25, OR 6,78 [1,66-27,67])
Conclusion: More than one quarter of patient suffered falls past 6 months. We found significant difference in disability status, anxiety and depression levels that could increase risk of falls.
Disclosure: Raminta Macaitytė - nothing to disclose
Dalia Mickevičienė - nothing to disclose
Eglė Sukockienė - nothing to disclose
Vytautas Danielius - nothing to disclose
Vitalija Stankunavičiūtė - nothing to disclose